scholarly journals Gene Expression Profile in Different Age Groups and Its Association with Cognitive Function in Healthy Malay Adults in Malaysia

Cells ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 1611
Author(s):  
Nur Fathiah Abdul Abdul Sani ◽  
Ahmad Imran Zaydi Amir Amir Hamzah ◽  
Zulzikry Hafiz Abu Abu Bakar ◽  
Yasmin Anum Mohd Mohd Yusof ◽  
Suzana Makpol ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cognitive Decline ◽  
Cognitive Aging ◽  
Successful Aging ◽  
Expression Patterns ◽  
Age Groups ◽  
Genetic Network ◽  
Cross Sectional ◽  
Age Related ◽  
Age Related Cognitive Decline

The mechanism of cognitive aging at the molecular level is complex and not well understood. Growing evidence suggests that cognitive differences might also be caused by ethnicity. Thus, this study aims to determine the gene expression changes associated with age-related cognitive decline among Malay adults in Malaysia. A cross-sectional study was conducted on 160 healthy Malay subjects, aged between 28 and 79, and recruited around Selangor and Klang Valley, Malaysia. Gene expression analysis was performed using a HumanHT-12v4.0 Expression BeadChip microarray kit. The top 20 differentially expressed genes at p < 0.05 and fold change (FC) = 1.2 showed that PAFAH1B3, HIST1H1E, KCNA3, TM7SF2, RGS1, and TGFBRAP1 were regulated with increased age. The gene set analysis suggests that the Malay adult’s susceptibility to developing age-related cognitive decline might be due to the changes in gene expression patterns associated with inflammation, signal transduction, and metabolic pathway in the genetic network. It may, perhaps, have important implications for finding a biomarker for cognitive decline and offer molecular targets to achieve successful aging, mainly in the Malay population in Malaysia.

Age-related cognitive decline and the borderland between normal aging and dementia

1997 ◽  
Vol 9 (2) ◽  
pp. 94-96 ◽  
Author(s):  
J. Jolles
Keyword(s):  
Cognitive Decline ◽  
Cognitive Aging ◽  
Successful Aging ◽  
Age Groups ◽  
Adult Life ◽  
Normal Aging ◽  
Elderly Subjects ◽  
Large Individual ◽  
Related Factors ◽  
Age Related

It is now generally agreed that healthy individuals are characterized by cognitive decline during the later decades of adult life. The acquisition of new information becomes less efficient, which, coupled with a diminished retention of this information for later use, results in substantially poorer memory performance. The ability to plan new activities, solve problems and make complex decisions, as well as cognitive flexibility is noticeably diminished. In addition, attentional processes appear to be invariably poorer in old subjects than in young subjects (for review). While it is quite clearly established that elderly subjects (i.e. after 65 years of age) show a deterioration of cognitive functioning, there is also evidence that this deterioration may start in middle age (40 years). There is large individual variance in age groups; for instance, some old individuals perform on many neurocognitive tests as well as young individuals do. Rowe and Kahn proposed in their influential article to discern between successful aging and usual aging. Successful aging would be due to the effect of chronological age, whereas additional factors would be responsible for usual aging. An important point is the nature of the borderland between usual cognitive aging and pathological conditions such as dementia. Various health-related factors are thought to be important in this respect. They may be a determinant for the transition between successful aging to normal aging and into the borderland with dementia. The Brain & Behavior Research Institute in Maastricht investigates the determinants of successful and pathological aging in a number of related and multidisciplinary projects. This paper describes some major findings of this research programme and gives a theory on the interaction of vulnerability factors and protective factors in their effect on cognitive aging.

Activity Engagement in Cognitive Aging: A Review of the Evidence

2013 ◽  
Vol 23 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Yvonne Rogalski ◽  
Muriel Quintana
Keyword(s):  
Older Adults ◽  
Cognitive Decline ◽  
Cognitive Aging ◽  
Social Activity ◽  
Current Evidence ◽  
Omega 3 ◽  
Neuroprotective Effects ◽  
Activity Engagement ◽  
Age Related ◽  
Age Related Cognitive Decline

The population of older adults is rapidly increasing, as is the number and type of products and interventions proposed to prevent or reduce the risk of age-related cognitive decline. Advocacy and prevention are part of the American Speech-Language-Hearing Association’s (ASHA’s) scope of practice documents, and speech-language pathologists must have basic awareness of the evidence contributing to healthy cognitive aging. In this article, we provide a brief overview outlining the evidence on activity engagement and its effects on cognition in older adults. We explore the current evidence around the activities of eating and drinking with a discussion on the potential benefits of omega-3 fatty acids, polyphenols, alcohol, and coffee. We investigate the evidence on the hypothesized neuroprotective effects of social activity, the evidence on computerized cognitive training, and the emerging behavioral and neuroimaging evidence on physical activity. We conclude that actively aging using a combination of several strategies may be our best line of defense against cognitive decline.

scholarly journals Multimodal measurement approach to identify individuals with mild cognitive impairment: study protocol for a cross-sectional trial

BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e046879
Author(s):  
Bernhard Grässler ◽  
Fabian Herold ◽  
Milos Dordevic ◽  
Tariq Ali Gujar ◽  
Sabine Darius ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Statistical Analysis ◽  
Cognitive Decline ◽  
Cognitive Performance ◽  
Classification Accuracy ◽  
Multimodal Approach ◽  
Cross Sectional ◽  
Age Related ◽  
Age Related Cognitive Decline

IntroductionThe diagnosis of mild cognitive impairment (MCI), that is, the transitory phase between normal age-related cognitive decline and dementia, remains a challenging task. It was observed that a multimodal approach (simultaneous analysis of several complementary modalities) can improve the classification accuracy. We will combine three noninvasive measurement modalities: functional near-infrared spectroscopy (fNIRS), electroencephalography and heart rate variability via ECG. Our aim is to explore neurophysiological correlates of cognitive performance and whether our multimodal approach can aid in early identification of individuals with MCI.Methods and analysisThis study will be a cross-sectional with patients with MCI and healthy controls (HC). The neurophysiological signals will be measured during rest and while performing cognitive tasks: (1) Stroop, (2) N-back and (3) verbal fluency test (VFT). Main aims of statistical analysis are to (1) determine the differences in neurophysiological responses of HC and MCI, (2) investigate relationships between measures of cognitive performance and neurophysiological responses and (3) investigate whether the classification accuracy can be improved by using our multimodal approach. To meet these targets, statistical analysis will include machine learning approaches.This is, to the best of our knowledge, the first study that applies simultaneously these three modalities in MCI and HC. We hypothesise that the multimodal approach improves the classification accuracy between HC and MCI as compared with a unimodal approach. If our hypothesis is verified, this study paves the way for additional research on multimodal approaches for dementia research and fosters the exploration of new biomarkers for an early detection of nonphysiological age-related cognitive decline.Ethics and disseminationEthics approval was obtained from the local Ethics Committee (reference: 83/19). Data will be shared with the scientific community no more than 1 year following completion of study and data assembly.Trial registration numberClinicalTrials.gov, NCT04427436, registered on 10 June 2020, https://clinicaltrials.gov/ct2/show/study/NCT04427436.

scholarly journals Assessment of Cognitive Aging Using an SSVEP-Based Brain–Computer Interface System

2019 ◽  
Vol 3 (2) ◽  
pp. 29 ◽  
Author(s):  
Saraswati Sridhar ◽  
Vidya Manian
Keyword(s):  
Cognitive Decline ◽  
Cognitive Aging ◽  
Age Groups ◽  
Detection Accuracy ◽  
Cognitive Deterioration ◽  
Age Group ◽  
Frequency Detection ◽  
Band Power ◽  
Age Related ◽  
Bci System

Cognitive deterioration caused by illness or aging often occurs before symptoms arise, and its timely diagnosis is crucial to reducing its medical, personal, and societal impacts. Brain–computer interfaces (BCIs) stimulate and analyze key cerebral rhythms, enabling reliable cognitive assessment that can accelerate diagnosis. The BCI system presented analyzes steady-state visually evoked potentials (SSVEPs) elicited in subjects of varying age to detect cognitive aging, predict its magnitude, and identify its relationship with SSVEP features (band power and frequency detection accuracy), which were hypothesized to indicate cognitive decline due to aging. The BCI system was tested with subjects of varying age to assess its ability to detect aging-induced cognitive deterioration. Rectangular stimuli flickering at theta, alpha, and beta frequencies were presented to subjects, and frontal and occipital Electroencephalographic (EEG) responses were recorded. These were processed to calculate detection accuracy for each subject and calculate SSVEP band power. A neural network was trained using the features to predict cognitive age. The results showed potential cognitive deterioration through age-related variations in SSVEP features. Frequency detection accuracy declined after age group 20–40, and band power declined throughout all age groups. SSVEPs generated at theta and alpha frequencies, especially 7.5 Hz, were the best indicators of cognitive deterioration. Here, frequency detection accuracy consistently declined after age group 20–40 from an average of 96.64% to 69.23%. The presented system can be used as an effective diagnosis tool for age-related cognitive decline.

Hippocampal gene expression changes during age-related cognitive decline

2009 ◽  
Vol 1256 ◽  
pp. 101-110 ◽  
Author(s):  
Traci L. Pawlowski ◽  
Linda L. Bellush ◽  
Amy W. Wright ◽  
Jon P. Walker ◽  
Robert A. Colvin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cognitive Decline ◽  
Age Related ◽  
Age Related Cognitive Decline

Do Professors Better Maintain Cognitive Functioning in Older Age?

GeroPsych ◽  
2019 ◽  
Vol 32 (1) ◽  
pp. 5-17
Author(s):  
Damaris Aschwanden ◽  
Vera Schumacher ◽  
Kathrin Zimmermann ◽  
Christina Werner ◽  
Mathias Allemand ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Cognitive Performance ◽  
Cognitive Aging ◽  
Protective Factor ◽  
Perceptual Speed ◽  
Highly Educated ◽  
Intellectual Engagement ◽  
Age Related ◽  
Average Education ◽  
Age Related Cognitive Decline

Abstract. Research on cognitive aging demonstrates age-related cognitive decline. Education is a protective factor against cognitive decline, but few studies have examined the cognitive development of highly educated individuals. This study compared the cognitive performance and intellectual engagement of retired professors ( N = 47, Mage = 72.9) and individuals with average education ( N = 236, Mage = 72.7) over 5 years. Although the highly educated sample showed better performance in perceptual speed and working memory, cognitive performance was rather stable over time in both samples. Interestingly, high intellectual engagement enabled individuals with average education to keep up with the performance of the highly educated sample on perceptual speed. These findings raise the question whether intellectual engagement is more beneficial than years of education in perceptual speed.

scholarly journals Maternal Resveratrol Supplementation Prevents Cognitive Decline in Senescent Mice Offspring

2019 ◽  
Vol 20 (5) ◽  
pp. 1134 ◽  
Author(s):  
Vanesa Izquierdo ◽  
Verónica Palomera-Ávalos ◽  
Sergio López-Ruiz ◽  
Anna-Maria Canudas ◽  
Mercè Pallàs ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cognitive Decline ◽  
Target Genes ◽  
Epigenetic Inheritance ◽  
Mtor Inhibition ◽  
Beneficial Effects ◽  
Protein Levels ◽  
Age Related ◽  
F2 Generation ◽  
Age Related Cognitive Decline

A variety of environmental factors contribute significantly to age-related cognitive decline and memory impairment in Alzheimer’s Disease (AD) and other neurodegenerative diseases. Nutrition can alter epigenetics, improving health outcomes, which can be transmitted across generations; this process is called epigenetic inheritance. We investigate the beneficial effects of maternal resveratrol supplementation in the direct exposed F1 generation and the transgenerational F2 generation. The offspring was generated from females Senescence Accelerated Mouse-Prone (SAMP8) fed a resveratrol-enriched diet for two months prior to mating. Object novel recognition and Morris Water Maze (MWM) demonstrated improvements in cognition in the 6-month-old F1 and F2 generations from resveratrol fed mothers. A significant increase in global DNA methylation with a decrease in hydroxymethylation in F1 and F2 were found. Accordingly, Dnmt3a/b and Tet2 gene expression changed. Methylation levels of Nrf2 and NF-kβ genes promoters raised in offspring, inducing changes in target genes expression, as well as hydrogen peroxide levels. Offspring that resulted from a resveratrol fed mother showed increase AMPKα activation, mTOR inhibition, and an increase in Pgc-1α gene expression and Beclin-1 protein levels. Endoplasmic reticulum stress sensors were found changed both in F1 and F2 generations. Overall, our results demonstrated that maternal resveratrol supplementation could prevent cognitive impairment in the SAMP8 mice offspring through epigenetic changes and cell signaling pathways.

scholarly journals Cranial Manipulation Affects Cholinergic Pathway Gene Expression in an Animal Model of Age-related Cognitive Decline

2020 ◽  
Author(s):  
Ramu Anandakrishnan ◽  
Hope Tobey ◽  
Steven Nguyen ◽  
Osscar Gonzalez Sandoval ◽  
Bradley G. Klein ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Animal Model ◽  
Nervous System ◽  
Cognitive Decline ◽  
Fold Change ◽  
Age Related ◽  
Age Dependent ◽  
Age Related Cognitive Decline

Abstract Age dependent dementia is a devastating disorder afflicting the growing older population around the world. Although pharmacological agents improve symptoms of dementia, age related co-morbidities combined with adverse effects often outweigh their clinical benefits. Therefore, non-pharmacological therapies are being investigated as an alternative. Randomized controlled trials and observational studies have shown promising results for cranial manipulation as a treatment for dementia and other nervous system disorders. In this study we examine the effect of osteopathic cranial manipulative medicine (OCMM) on gene expression, in an animal model for age-related cognitive decline (aged rats). We found that OCMM significantly affected the expression of 36 genes in the neuronal pathway (False Discovery Rate (FDR) < 0.004). The top five neuronal genes with the largest fold-change (Slc5a7, Chat, Slc18a3, Adcy5 and Cacna2d2, >2-fold change, FDR<0.004) are part of the cholinergic neurotransmission mechanism, which is known to affect cognitive function. Slc5a7, the highest overexpressed neuronal gene (3-fold change) encodes a sodium and chloride ion-dependent high-affinity transporter that mediates choline uptake for acetylcholine synthesis in cholinergic neurons. This is the pathway enhanced by the clinically used Alzheimer’s disease drug Donepezil, which selectively inhibits acetylcholinesterase, an enzyme that catalyzes endogenous acetylcholine degradation. In addition, 40% of significant differentially expressed (SDE) genes (FDR<0.004), have been previously implicated in neurological disorders. Overall, SDE genes and their role in central nervous system signaling pathways suggest a connection to previously reported OCMM induced behavioral and biochemical changes in rat models of age-dependent dementia. Further investigation in this direction will provide a better understanding of the molecular mechanisms of OCMM and its potential in clinical applications. With clinical validation, OCMM could represent a much needed low-risk adjunct treatment for age-related dementia including Alzheimer’s disease.

Cross-Sectional Study of Older Outpatients With Schizophrenia and Healthy Comparison Subjects: No Differences in Age-Related Cognitive Decline

2000 ◽  
Vol 157 (8) ◽  
pp. 1324-1326 ◽  
Author(s):  
Lisa T. Eyler Zorrilla ◽  
Robert K. Heaton ◽  
Lou Ann McAdams ◽  
Sidney Zisook ◽  
M. Jackuelyn Harris ◽  
...  
Keyword(s):  
Cognitive Decline ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Age Related ◽  
Age Related Cognitive Decline
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